Publikation: Algorithmic debugging to support cognitive diagnosis in tutoring systems
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2011
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BACH, Joscha, ed., Stefan EDELKAMP, ed.. KI 2011: Advances in Artificial Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 357-368. Lecture Notes in Computer Science. 7006. ISBN 978-3-642-24454-4. Available under: doi: 10.1007/978-3-642-24455-1_35
Zusammenfassung
Cognitive modelling in intelligent tutoring systems aims at identifying a learner's skills and knowledge from his answers to tutor questions and other observed behaviour. In this paper, we propose an innovative variant of Shapiro's algorithmic debugging technique whose application can be used to pin-point learners' erroneous behaviour in terms of an irreducible disagreement to the execution trace of an expert model. Our variant has two major benefits: in contrast to traditional approaches, it does not rely on an explicit encoding on mal-rules, and second, it induces a natural teacher-learner dialogue with no need for the prior scripting of individial turns or higher-level dialogue planning.
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ZINN, Claus, 2011. Algorithmic debugging to support cognitive diagnosis in tutoring systems. In: BACH, Joscha, ed., Stefan EDELKAMP, ed.. KI 2011: Advances in Artificial Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 357-368. Lecture Notes in Computer Science. 7006. ISBN 978-3-642-24454-4. Available under: doi: 10.1007/978-3-642-24455-1_35BibTex
@inproceedings{Zinn2011Algor-21050,
year={2011},
doi={10.1007/978-3-642-24455-1_35},
title={Algorithmic debugging to support cognitive diagnosis in tutoring systems},
number={7006},
isbn={978-3-642-24454-4},
publisher={Springer Berlin Heidelberg},
address={Berlin, Heidelberg},
series={Lecture Notes in Computer Science},
booktitle={KI 2011: Advances in Artificial Intelligence},
pages={357--368},
editor={Bach, Joscha and Edelkamp, Stefan},
author={Zinn, Claus}
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